CL2.7 | Plant and animal phenology under the pressure of climate change
Plant and animal phenology under the pressure of climate change
Convener: Iñaki Garcia de Cortazar-Atauri | Co-conveners: Yann Vitasse, Marie Keatley, Hans Ressl, Christina Koppe
Orals
| Wed, 17 Apr, 08:30–12:25 (CEST)
 
Room 0.31/32
Posters on site
| Attendance Wed, 17 Apr, 16:15–18:00 (CEST) | Display Wed, 17 Apr, 14:00–18:00
 
Hall X5
Orals |
Wed, 08:30
Wed, 16:15
Phenological changes induced by ongoing climate change are affecting species, ecosystems, and even the global climate by altering species performance, species interactions (potential mismatches and new opportunities in the food web), and water and carbon cycles. Observations of plant and animal phenology as well as remote sensing and modeling studies document complex interactions and raise many open questions about the future sustainability of species and ecosystems. In this session we invite all contributions that address seasonality changes based on plant and animal phenological observations, pollen monitoring, historical documentary sources, or seasonality measurements using climate data, remote sensing, flux measurements, modeling studies or experiments. We also welcome contributions addressing cross-disciplinary perspectives and international collaborations and program-building initiatives including citizen science networks and data analyses from these networks.
This session is organized by a consortium representing the International Society of Biometeorology (Phenology Commission), the Pan-European Phenology Network - PEP725, the Swiss Academy of Science SCNAT, the TEMPO French Phenology Network and the USA National Phenology Network.

Session assets

Orals: Wed, 17 Apr | Room 0.31/32

Chairpersons: Yann Vitasse, Hans Ressl
08:30–08:35
08:35–08:45
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EGU24-1468
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ECS
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Highlight
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On-site presentation
Yahya Ghalayini, Nicole Estrella, Jens Kattge, and Annette Menzel

Climate warming is mostly advancing the onset date of spring phenology, yet milder winters with higher temperatures may in fact delay this date, as chilling requirements of species are not fully met in time. The spring phenology of trees and forests is interconnected with ecosystem functions and services, thus the responses of single species to climate warming may have significant implications at the economic and ecological levels. Despite the numerous studies which have been conducted during the past decade on the responses of plant spring phenology to climate warming, the relative importance of various factors, such as phylogeny, floristic status, climate of the native range, life strategy and plant traits, is still not well understood. In this study, twigs from 53 different tree species with two different natural-chilling treatments were forced in climate chambers at 20°C/day and 15°C/night until budburst, and the onset of budburst was monitored 3 times per week. The forcing requirements until budburst were linked to phylogeny (genera), life strategy (pioneer to climax), climate of their native range (oceanic to continental), floristic status (native, ornamental, and invasive) and eight important plant traits from the TRY database. The aim of our study is to answer the following questions: Are pioneer species more responsive to warming compared to later successional strategies? Is the climate of the native range, floristic status and continent of the species related to responsiveness to forcing? Can plant traits indicate the degree of species’ phenological responses to climate warming?

How to cite: Ghalayini, Y., Estrella, N., Kattge, J., and Menzel, A.: The role of plant traits in climate warming responsiveness of tree species, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1468, https://doi.org/10.5194/egusphere-egu24-1468, 2024.

08:45–08:55
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EGU24-1970
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ECS
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On-site presentation
Isabella Ostovary and Christof Bigler

Leaf unfolding of trees is influenced by a wide range of environmental factors, such as climate, stand structure, soil characteristics, and topography. However, few studies have investigated the compound effects of those environmental factors. Furthermore, several factors, such as stand structure and soil characteristics, have not been sufficiently studied. In particular, the influence of water-holding capacity and the resulting soil-water balance on the phenological behaviour of adult trees is largely unexplored.

This study aims to understand how interactions between multiple environmental factors, including climate, stand structure, soil characteristics, and topography, influence the phenological timing of Fagus sylvatica, Picea abies, Larix decidua and Tilia cordata. To understand the effects of these factors, field data on soil characteristics (depth, texture, bulk density, and organic carbon), topography (elevation, relief type, slope aspect and slope inclination) and stand structure (basal area, tree height and stand height) were collected at 52 long-term monitoring sites from a phenological network across all biogeographic regions of Switzerland. Data is currently being analysed using linear mixed-effects models.

Preliminary results indicate that growing degree days, drought and elevation are the most important factors determining the timing of leaf unfolding across species. Among those factors, drought consistently seems to have the highest impact on advancing leaf unfolding. Other factors such as relief type, stand height and basal area appear to be relevant as well, but seem more species specific. For example, relief type, which can affect heat accumulation irrespective of weather conditions, seems important for Larix decidua, but not Fagus sylvatica. In contrast, there is reasonable evidence that competition parameters such as stand height and basal area affect Fagus sylvatica, but not Larix decidua.

This study considerably improves our understanding about the compound effect of established as well as rarely investigated environmental factors on the timing of leaf unfolding across species throughout a wide range of environmental conditions.

How to cite: Ostovary, I. and Bigler, C.: Effects of climate, stand structure, soil characteristics and topography on leaf unfolding of trees in Switzerland, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1970, https://doi.org/10.5194/egusphere-egu24-1970, 2024.

08:55–09:05
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EGU24-3141
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Highlight
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On-site presentation
Pierluigi Calanca, Pierre Mariotte, and Massimiliano Probo

Phenological observations provides important information for the agricultural management of grasslands, especially in spring, when a clear trade-off between increasing biomass and decreasing forage quality emerges as plant development progresses. For this reason, and in view of the impacts of climate change on agroecosystems and the needs for adapting farming activities to altered climatic conditions, there is much interest for understanding the long-term trends of key phenological stages.

In this contribution we first provide an overview of 30 years of phenological observations carried out since 1995 at more than 50 sites located in Western Switzerland and covering an altitudinal belt ranging between 400 and 1400 m above sea level. Using the so-called Dactylis glomerata (cocksfoot) equivalent stage to assess the average plant development in these grasslands, we show that full heading has been advancing by about 2 days per decade over the 30 years of observations.

Secondly, we demonstrate that observed dates of full heading and associated trends are very well matched by estimates obtained with a simple phenological model. We use this model, along with models for determining the end of the snow season and the beginning of the vegetation period, to extend the assessment of climate change impacts on grassland spring phenology in Western Switzerland back to 1961. We report on shifts and associated trends calculated along the altitudinal transect covered by our network.

Finally, we compare the development of grassland phenology with the one of spring phases of other plant species and discuss our results in the context of the overall temperature evolution in Switzerland. We also emphasize a possible association of the variability in the spring phenology of grasslands with the long-term evolution of large-scale atmospheric circulation modes, and the implications of projected future changes in climatic conditions for the agricultural utilization of permanent grasslands.

How to cite: Calanca, P., Mariotte, P., and Probo, M.: Spring phenology of Swiss grasslands under climate change – variability and trends since 1961, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3141, https://doi.org/10.5194/egusphere-egu24-3141, 2024.

09:05–09:15
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EGU24-4683
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Highlight
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On-site presentation
Ignacio Morales-Castilla, Sofía Aguirre-Iglesias, Lara Río, Marta Fernández-Pastor, and Mercedes Uscola Fernández

There is a pressing need for cost-efficient adaptation of agriculture to a warming climate. An increasingly supported approach relies on leveraging varietal diversity, assuming that crop varieties exhibit distinct responses to climate, thereby providing a range of choices under various scenarios. This holds true for winegrapes, where considerable variability in phenological and physiological traits has been documented across varieties. However, it remains unclear whether phenology or physiology is more informative concerning varietal suitability to diverse climate conditions. Additionally, the extent to which phenology and physiology correlate in a predictable manner is still unknown, raising the question of whether one can be utilized as a surrogate of the other. In this study, we address these questions by examining understudied varieties of Iberian winegrapes as a case study. We integrate field phenological observations from the last decades with results from experiments determining the heat tolerance of eight varieties of Spanish and Portuguese winegrapes. Our findings reveal that there is no unequivocal relationship between phenology and thermal physiology. Specifically, later varieties, assumed to better cope with warming climates, do not consistently exhibit greater heat tolerance. These results suggest that phenology and heat tolerance are not interchangeable but instead represent complementary sources of information. Consequently, they can (and should) be integrated into assessments of the risk of thermal stress and climate suitability of winegrape varieties.

 

How to cite: Morales-Castilla, I., Aguirre-Iglesias, S., Río, L., Fernández-Pastor, M., and Uscola Fernández, M.: Assessing winegrape suitability in a changing climate through phenology and thermal physiology  , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4683, https://doi.org/10.5194/egusphere-egu24-4683, 2024.

09:15–09:25
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EGU24-6646
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On-site presentation
Cyrille Rathgeber and Ignatius Adikurnia

Comprehending the development, function, and adaptation of trees to changing environments requires a comprehensive understanding of the phenology of wood formation. In recent decades, numerous studies have investigated the impact of climate change on wood formation, with a focus on the start, end, and duration of the growing season. While some studies use microcores to directly observe wood phenology on anatomical sections, which requires a great deal of laboratory work, many others use indirect observations of variations in trunk circumference measured using dendrometers. However, it has not yet been properly assessed whether dendrometer records can provide reliable estimates of the phenology of wood formation.

To answer this question, we collected weekly data from band dendrometers and wood microcores of six important European species (European beech, European larch, Norway spruce, Scots pine, silver fir, and pedunculate oak) growing at five different study sites located in eastern France over a period of three years or more. Classical logistic growth curves were used to fit dendrometer measurements to determine the days of the year when 5% and 95% of total annual growth are completed. Almost direct observations of the beginning and end of wood growth were obtained by processing and analyzing microcores.

At the beginning of the growing season, dendrometer estimates and microcore observations were in agreement for fir and spruce trees. However, for larch, beech, pine, and oak trees, dendrometer estimates were consistently delayed by approximately 10, 13, 15, and 25 days, respectively. At the end of the growing season, the dendrometer approach did not yield significant differences for fir, larch, spruce, and oak trees. However, it provided earlier estimates for beech and later estimates for pine trees. Reduced major axis regressions indicated significant linear relationships between dendrometer estimates and microcore observations for fir, spruce, pine and beech at the beginning of the growing season and for fir, beech and oak at the end.

The study explored the impact of tree species' life traits on the deviation level between the dendrometer and microcore approaches. The results indicate that deviation decreases with an increase in growth rate, but increases with greater heterogeneity of tree-ring structure (from diffuse-porous to conifer and ring-porous tree-rings) and roughness of the bark (from smooth or scaly to fissured bark types). The study revealed that deviation decreases with elevation for larch trees in the southern Alps. Conversely, for beech, fir, pine, spruce, and oak trees in the northeast of France, deviation increases with spring precipitation.

This study highlights the challenges associated with using band dendrometers to estimate wood formation phenology. While the 'cheap and fast' band dendrometer approach may seem like an attractive alternative to the 'expensive and labor-intensive' microcore approach, it is important to consider the limitations of this method. Indeed, our results indicate that the accuracy of band dendrometers estimates depends on tree growth rate, species life traits, site conditions, and climate variability. Therefore, it may be challenging to use them to investigate tree adaptation to climate changes and changes in woody carbon sequestration.

How to cite: Rathgeber, C. and Adikurnia, I.: Assessing wood formation phenology with dendrometers: opportunities and pitfalls, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6646, https://doi.org/10.5194/egusphere-egu24-6646, 2024.

09:25–09:35
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EGU24-10492
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ECS
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On-site presentation
Philipp Dehn, Uwe Grüters, Gerald Moser, and Christoph Müller

This study investigates the flowering onset of species in an extensively managed, temperate grassland under future atmospheric conditions. Free air CO2 enrichment experiments combined with a warming treatment via IR heaters (T-FACE) are state of the art for investigating future developments in terrestrial ecosystems. This study presents the first results of a new approach to T-FACE technology. In this experiment, the air temperature is increased directly via heating elements, thus creating more realistic environmental conditions for future climate studies.

Plant phenology, a widely used indicator of changing environmental conditions, was therefore one of the first subjects to be investigated with the new system. Four grasses and five herbaceous plants were monitored several times a week for the onset of flowering over a period of five years.

These were Arrhenatherum elatius, Holcus lanatus, Poa pratensis, Trisetum flavescens as well as Draba verna, Galium album, Geranium pratense, Glechoma hederacea and Sanguisorba officinalis.

While significantly earlier flowering was observed in some species, other species showed no change in the onset of flowering. Results suggest that changes in the onset of flowering were mainly seasonal and independent of the functional plant group.

How to cite: Dehn, P., Grüters, U., Moser, G., and Müller, C.: Earlier flowering onset induced by air heating occurs only in certain grassland species in the Giessen T-FACE experiment, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10492, https://doi.org/10.5194/egusphere-egu24-10492, 2024.

09:35–09:45
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EGU24-12385
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ECS
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On-site presentation
Dominic Rebindaine, Constantin Zohner, and Thomas Crowther

Phenological shifts are crucial indicators of ecosystem responses to climate change. Complex feedbacks exist between the timing and length of temperate deciduous forest growing seasons and water, energy and carbon cycling. Understanding these feedbacks is essential for accurate future climate and forest productivity predictions. Despite knowing that warmer late-season temperatures postpone autumn senescence, extending the growing season, the specific drivers of autumn phenology remain unclear. Recent studies indicate that early-season warming may counteract these growing season extensions through developmental constraints. The compensatory point between these two antagonistic effects, i.e., the date when the effect of temperature on senescence reverses, may be governed by day length. However, the relative roles of early-season development and late-season temperature in driving autumn phenology need to be clarified. Our climate manipulation experiments on European beech (Fagus sylvatica) aimed to address this complexity. We show that cooling at different times of the day has inverse effects on beech's primary growth cessation, affirming that warming can either postpone bud set or advance it by speeding up development. By manipulating leaf-out timing we found that reduced early-season development delayed bud set (mean = 3.56 days, p = 0.002). The effect of cooling in July was more pronounced for the reduced-development (late-leafing) trees (mean = 5.27 days, p < 0.001). This indicates that the effects of temperature later in the season depend on early-season development, which, in turn, points to a flexible effect reversal date. However, cooling in August advanced bud set regardless of leaf-out timing (mean = -3.08 days, p < 0.001), indicating that temperature becomes increasingly important as a driver of autumn phenology as the late-season progresses. This study underscores the importance of accounting for both developmental and warming factors when predicting autumnal phenological shifts.

How to cite: Rebindaine, D., Zohner, C., and Crowther, T.: Disentangling the antagonistic effects of development and temperature on the autumn phenology of european beech using manipulative experiments, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12385, https://doi.org/10.5194/egusphere-egu24-12385, 2024.

09:45–09:55
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EGU24-15552
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ECS
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On-site presentation
Ilka Beil, Nadine Pluquette, Nora Willenbockel, and Jürgen Kreyling

The timing of spring leaf out and autumn senescence needs to be well adapted to the climate at the particular site to ensure precise alignment with the change of the seasons.  From a tree species with a large distribution range covering wide parts of Europe, we would expect substantial variation the phenological characteristic and in the chilling requirements of different provenances. If climate is getting warmer and winters are getting shorter, the local adaptation to might not fit future climate anymore, so that the trees cannot take advantage out of an early start of the growing season or a late warm autumn.

In a provenance trial with young beech seedlings, we quantified the differences between spring leaf out and autumn senescence of the provenances and individuals. We further asked which climate parameters were the evolutionary drivers for those phenological characteristics. And we investigated, if there is a correlation between phenological timing and growth, assuming that early flushing and late colouring individuals would utilize the growing season better.

The difference between the earliest and the latest provenance in spring leaf out was 8 days and in autumn senescence 17 days. For spring leaf out, we tested for several climate parameters and found that the longer the winter with more days between 0 and 10°C at the place of origin, the later the trees leafed out in our common garden. This climate parameter reflects nicely the often-used quantification of chilling. So, at places were typically more chilling time occurs over winter, the trees developed higher chilling requirements.  But also, the lower the minimum temperature in winter at the place of origin, the earlier they leafed out in our common garden, which is less intuitive. For autumn, eastern provenances coloured their leaves earlier than western provenances if grown under the same climate. The growth of the seedlings will be measured in winter 2023/2024 and will be evaluated in relation to their provenances and to their phenological characteristics in the presentation.

How to cite: Beil, I., Pluquette, N., Willenbockel, N., and Kreyling, J.: Intraspecific variation of spring and autumn phenology in Fagus sylvatica, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15552, https://doi.org/10.5194/egusphere-egu24-15552, 2024.

09:55–10:05
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EGU24-17491
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Highlight
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On-site presentation
Karin Mora, Michael Rzanny, Jana Wäldchen, Hannes Feilhauer, Teja Kattenborn, Guido Kraemer, Patrick Mäder, Daria Svidzinska, Sophie Wolf, and Miguel D. Mahecha

Understanding the implications of climate change on ecosystems necessitates continuous monitoring of plant phenology. While citizen science data collected through smartphone applications offer a rich source of information, existing phenology studies predominantly focus on individual species.

This study introduces a pioneering data science approach to quantify plant group behaviour from individual observations. Leveraging over ten million ground measurements of plant observations obtained through the Flora Incognita plant identification app in Germany from 2018 to 2023, our analysis unveils macrophenological patterns arising from plant group behaviour. The findings indicate nonlinear changes in group behaviour across the annual cycle.

Furthermore, we explore the relationship between these macrophenological patterns on the ground and phenology derived from remote sensing data. The growing databases of citizen science holds great potential to investigate climate-induced phenological shifts and provide valuable insights into plant group behaviour.

How to cite: Mora, K., Rzanny, M., Wäldchen, J., Feilhauer, H., Kattenborn, T., Kraemer, G., Mäder, P., Svidzinska, D., Wolf, S., and Mahecha, M. D.: Plant macrophenological dynamics - from individuals to plant group behaviour using citizen science data, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-17491, https://doi.org/10.5194/egusphere-egu24-17491, 2024.

10:05–10:15
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EGU24-10858
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ECS
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On-site presentation
Vivien Sainte Fare Garnot, Maaike de Boer, Lynsay Spafford, Jelle Lever, Christian Sigg, Barbara Pietragalla, Roman Zweifel, Yann Vitasse, Arthur Gessler, and Jan Dirk Wegner

Large-scale, high-quality phenological observations of trees are key to a better understanding of the environmental factors that control phenological processes, as well as their responses to a changing climate. Over the last decades, phenocams (i.e., webcams capturing time-lapse images of individual plants,  canopies, or communities) have been shown to be a reliable compromise between ground based human observation and satellite remote sensing. Phenocams combine the advantages of automated, real-time data acquisition and a high resolution that allows for the monitoring of individual organisms. Here, we focus on tree species in Switzerland and lay the foundation for a country-scale phenocam network.

In comparison to the global spatial coverage of satellite data, phenocam coverage is bound by the local implantation of cameras. To mitigate this limitation, we integrated a diversity of sources into our data pipeline: weather cameras, private cameras (e.g., from hotel or ski resorts), as well as cameras specifically installed for phenological observation. Combining those sources, we identified over 150 potential sites across the Swiss territory with cameras installed by the same industrial provider. In our first iteration, we focused on 27 of those sites, prioritizing based on the amount of clearly visible trees. We collected the image time series for each location with up to 12 years of site-level history. Due to the diversity of image sources the temporal resolution varied between 1 and 144 images per day. For each of the sites, we annotated the polygon delineating the boundaries of each tree, or group of trees in image pixel coordinates. Next, we identified the species of each tree via on-site visual inspection. Our dataset contains over 1,700 polygons of individual trees, covering over 20 predominant tree species of Switzerland, and over 1,300 polygons of groups of trees categorized into 5 classes.

To obtain phenological observations from this dataset, we adopt two distinct approaches. First, to relate to on-site observations, we reprocess the data for easy visual inspection and developed an ontology of 16 phenophases (e.g., ‘start of leaf unfolding’, ‘leaf maturity’, ‘start flowering’) that can be readily observed by a human from webcam imagery. Phenophases were defined such that they are meaningful for phenological studies and can be matched with Swiss Phenology Network observations where possible. The visual analysis of the images by phenology experts yields over 13,000 different phenological observations.  Second, to relate to satellite-based phenology metrics, we identified changes in greenness over time for each polygon which correspond to leaf development. 

In this communication, we show our dataset preparation pipeline, as well as a comparative study of the phenological metrics obtained via different means on the same trees: visual analysis of the images, greenness extraction, and citizen network reports. In future works, we will explore how this dataset can be used to train machine learning methods to predict phenological phases from the image time series. We will explore if machine learning methods can allow for precise phenophase identification like in visual inspection, while  being fully automated like greenness extraction.

How to cite: Sainte Fare Garnot, V., de Boer, M., Spafford, L., Lever, J., Sigg, C., Pietragalla, B., Zweifel, R., Vitasse, Y., Gessler, A., and Wegner, J. D.: SwissPhenoCam: Country-scale automated tree-phenology tracking from webcam imagery., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10858, https://doi.org/10.5194/egusphere-egu24-10858, 2024.

Coffee break
Chairpersons: Iñaki Garcia de Cortazar-Atauri, Pierluigi Calanca
10:45–10:55
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EGU24-6301
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ECS
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On-site presentation
Negin Katal, Michael Rzanny, Patrick Mäder, Hans Christian Wittich, David Boho, and Jana Wäldchen

Plant phenology investigates the timing of critical events in a plant's life cycle, encompassing budburst, flowering, fruiting, and senescence, with their significance rooted in their responsiveness to environmental conditions. Despite the growing interest in phenology, challenges persist in documenting these processes due to their extensive spatial and temporal scales.

While global phenological networks traditionally collect data at the individual scale, a concern is arising regarding the declining number of phenological observers, prompting questions about the future of these datasets. Simultaneously, the surge in plant identification apps among citizens has yielded a substantial volume of plant occurrence records, accompanied by plant images, spanning diverse temporal and spatial scales.

In this study, we explore the viability of utilizing opportunistically captured plant observations gathered through a plant identification app to determine the onset of flowering. Additionally, we investigate how citizen science-based phenological monitoring can be enhanced by incorporating images generated by the app. To achieve this, we developed a machine learning-based workflow enabling the automatic annotation of thousands of images into specific phenological stages. Beyond examining the onset of flowering, our established methodology allows for the exploration of other phenological stages, such as budburst or fruiting, on a large scale.

Subsequently, we compare these opportunistic phenological records with systematically collected data from phenological networks. This approach not only streamlines image annotation but also augments the usefulness of citizen science data for phenological monitoring purposes.

How to cite: Katal, N., Rzanny, M., Mäder, P., Wittich, H. C., Boho, D., and Wäldchen, J.: Leveraging Citizen Science and Machine Learning for Plant Phenology Monitoring, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6301, https://doi.org/10.5194/egusphere-egu24-6301, 2024.

10:55–11:05
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EGU24-2900
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On-site presentation
Shilong Ren and the Global change and plant phenology

Autumn phenology plays a vital role in regulating the length of growing season and carbon uptake in terrestrial ecosystems. Under global climate change, delayed autumn phenology has been widely reported, but as to the potential drivers and mechanisms, it is are still unclear, especially the impact magnitude and direction of internal factors. In this study, based on satellite-derived the end of growing season (EOS) and photosynthetic data over the Northern Hemisphere (>30° N) from 1982 to 2014, we comprehensively investigated the impacts of developmental and environmental factors on EOS and compared their relative effects across different climate zones and vegetation types. We found the magnitude of EOS shift was highly heterogeneous across climate zones and vegetation types. It delayed more in humid regions than in drought regions. The response of EOS to temperature and precipitation in warm-dry areas was opposite to that in other areas. Spring phenology had an important legacy effect on EOS. But no direct sink limitation effect of growing season photosynthesis on autumn phenology was detected in any climate zone or vegetation type, as reported in some other field observations. While internal factors played a certain role in modulating EOS, their total impact was lower than the influence of temperature and precipitation in most regions and vegetation types. Our findings emphasize the complexity of factors influencing EOS, and call for elaborate investigation on the driving mechanisms of autumn phenology at different scales and under different climate backgrounds.

How to cite: Ren, S. and the Global change and plant phenology: The modest influence of internal factors on autumn phenology compared to climate factors , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2900, https://doi.org/10.5194/egusphere-egu24-2900, 2024.

11:05–11:15
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EGU24-9812
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Highlight
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On-site presentation
Constantin Zohner

Understanding the factors driving leaf-out times in temperate and boreal trees is increasingly vital in the context of rapid climate change, as it is crucial for predicting ecosystem dynamics. This study investigates if and how the sensitivity of spring phenology to temperature (St) has evolved in recent decades, especially given the ongoing debates about the extent and direction of future phenological shifts. Leaf-out times are influenced by a mix of spring warming, winter chilling, and day length, with their significance varying across different species. However, climate change could reduce St due to warmer climates and earlier spring onset, potentially enhancing winter chilling and day length constraints. To evaluate the relative importance of these factors, we conducted a comprehensive analysis using both long-term ground observations and satellite-derived phenology data, covering a span of six decades. Our approach included simulations to better understand the mechanisms behind variations in species-level Ts. This research aims to determine whether the phenological responsiveness of trees to climate change is decreasing, taking into account both environmental and physiological factors. Our findings challenge the prevailing belief of a consistent decline in St sensitivity, underscoring the need for a more nuanced understanding of the drivers behind leaf-out phenology in a changing climate. This study adds to the ongoing discourse on how global warming shapes natural phenomena and is pivotal for forecasting how ecosystems will respond to environmental changes.

How to cite: Zohner, C.: Quantifying changes in temperature sensitivity of spring phenology over recent decades, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-9812, https://doi.org/10.5194/egusphere-egu24-9812, 2024.

11:15–11:25
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EGU24-2839
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ECS
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Virtual presentation
Jianhong Lin, Nicolas Delpierre, and Cyrille Rathgeber

Wood phenology is an important indicator of ecosystem response to climate change. However, compared to leaf phenology, the understanding of wood phenology is still in its infancy. In this study, we developed the first ecophysiological model to simulate the cessation of wood formation for two major Northern Hemisphere conifer species (Pinus sylvestris and Picea abies). The model developed postulates cessation of wood formation to be driven by both photoperiod and temperature. We calibrated and validated the model based on the GLOBOXYLO database documenting the occurrence of phenological stages in wood formation. We focused on two European species here, namely Pinus sylvestris and Picea abies, totaling 96 site-years. The model received support for both species with a root mean square error of 12.6 days and 8.6 for the prediction of validation data, respectively. The model accuracy was significantly related to the within-population variability in the observed data of cessation of wood formation, with higher prediction errors in years when trees of the same population were not in sync. Moreover, we found the number of radial cell and tree diameter to also affect the cessation of wood formation based on a path analysis model. This study improves the knowledge of the role of environmental and ontogenetic factors controlling the cessation of wood formation in the temperate and boreal zones.

How to cite: Lin, J., Delpierre, N., and Rathgeber, C.: Ecophysiological modelling of cessation of wood formation phenology in temperate and boreal forest trees, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2839, https://doi.org/10.5194/egusphere-egu24-2839, 2024.

11:25–11:35
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EGU24-18867
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On-site presentation
Sofia Bajocco and Simone Bregaglio

Plant phenology, which refers to the timing of cyclic or recurring eco-physiological events in plants, provides key information about the seasonal dynamics of vegetation and ecosystem processes. While traditional phenological surveys imply the visual detection of easily observable events like flowering, bud break and defoliation, phenological patterns may be unclear due to combined effects or compensatory processes of driving variables (e.g., temperature and photoperiod). Monitoring the continuous plant development during a season is essential for interpreting temporal changes between observed phenological phases and the environmental impacts on the plants' seasonal dynamic. This is especially true for deciduous broadleaf forests, like European beech, where the canopy is sensitive to intra-annual climatic changes and extreme events like spring frosts. In this view, remotely sensed vegetation indices (VIs) observations, thanks to their high temporal resolution, provide a reference data source for investigating phenological moments (phenometrics) and trends. However, there are still two major drawbacks to be solved: (i) phenometrics are merely mathematical moments of the VI annual curve and do not represent any ecophysiological phase, (ii) the VI annual profile allows to detect the canopy growth processes of a plant community but does not reveal the dormancy-related processes occurring when the dominant vegetation cover is senescing. To fill this research gap, this work proposes a process-based model, named swell (simulated waves of energy light and life), able to simulate the complete VI intra-annual profile of beech forests based on their photo-thermal responses during the dormancy and the growing season. To this aim, the EU-forest dataset was used as spatial information of the European beech forests (data from 16 ecoregions), the MODIS NDVI (2010-2023) as reference data for swell calibration (4426 pixels) and independent evaluation (6672 pixels), and the E-OBS Copernicus dataset as weather input source. The rationale of swell is that each phenophase starts upon the completion of the previous one and progresses as a function of phenophase-specific photothermal requirements, using temperature and daylength as climatic cues. The swell simulations agreed with MODIS NDVI profiles (RMSE < 0.10, PBIAS < 5%, Pearson r > 0.8) across time and ecoregions, obtaining similar performances in calibration and evaluation and comparable performances with a fine-fitting statistical method fitted yearly (i.e., Elmore). Aggregating NDVI simulations by latitude and elevation bands allowed exploring patterns of beech phenology across Europe, whose dynamics can be inspected to reveal the vegetation response of this species in response to largely variable photothermal conditions.

How to cite: Bajocco, S. and Bregaglio, S.: Modelling phenology in European beech forests as waves of photo-thermal responses, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18867, https://doi.org/10.5194/egusphere-egu24-18867, 2024.

11:35–11:45
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EGU24-10317
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ECS
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On-site presentation
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Ali Didevarasl, Jose M. Costa-Saura, Donatella Spano, Richard L. Snyder, Pierfrancesco Deiana, Diana Rechid, Katharina Bülow, Maurizio Mulas, Giovanni Nieddu, and Antonio Trabucco

Under a future changing climate, the Mediterranean is considered a region extremely prone to global warming and intensified climate events, which will possibly change the timing of phenological phases and alter conditions and risks for olive tree growth. This situation may restrict olive cultivation which is economically strategic in the Mediterranean countries. Since, the timing and management of agronomic practices (planting, irrigation, fertilization, crop protection, harvesting, etc.) are based on phenological phases and plant growth, accurate phenological projections are essential to assess climate risks and guide optimal management apt to mitigate climate change effects on olive development. Initially, the present investigation aims to introduce innovative phenological modeling, i.e., Chill, Anti-Chill, and Growing Degree Days combined model (CAC_GDD) applicable in heterogenous areas with limited and scattered observations. Then, we project future changes in olive phenological phases (i.e., sprouting, blooming, and pit hardening) and relevant agro-climate stressors during these phases over the Euro-Mediterranean for both early and mid-late bud break cultivars. For model parametrization and validation, the phenological observations were gathered from nine experimental sites in Italy and temperature time-series from the European Centre for Medium-Range Weather Forecasts, Reanalysis v5. To project the timing of phenological phases and then calculate the agro-climate stressors we used an ensemble of high-resolution climate projections at 0.11° from EURO-CORDEX (Coordinated Regional Climate Downscaling Experiment) repository, for two historical (1976-2005) and future (2036-2065) 30-year periods under three emission scenarios (i.e., RCP2.6, RCP4.5, and RCP8.5). The CAC_GDD modeling showed the best performance (RMSE: 4 days) for the blooming phase of mid-late cultivars, suiting similarly and in some cases even better than the more complex model to our experimental conditions. The spatial phenological projection illustrated that at least 75% of the Euro-Mediterranean area will experience significant phenological advances for olive crops. Meanwhile, current olive cultivations in the Mediterranean basin may face accelerated climate extremes mainly at blooming and pit hardening stages in the future. Hence, we expect possible future shifts in olive-growing areas from the Mediterranean to colder regions with more thermal suitability for the mid-late cultivars.

How to cite: Didevarasl, A., Costa-Saura, J. M., Spano, D., Snyder, R. L., Deiana, P., Rechid, D., Bülow, K., Mulas, M., Nieddu, G., and Trabucco, A.: Modeling Olive Phenological Phases for Agro-Climate Risk Assessment in a Changing Future Climate over the Euro-Mediterranean Region, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10317, https://doi.org/10.5194/egusphere-egu24-10317, 2024.

11:45–11:55
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EGU24-11822
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ECS
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Virtual presentation
Phenology Analysis of Cotton and Maize in Lake Karla Watershed under the mild climate scenario (RCP 4.5)
(withdrawn)
Georgios A. Tziatzios, Luca Doro, John Tzabiras, Nikitas Mylopoulos, Athanasios Loukas, and Nikolaos Danalatos
11:55–12:05
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EGU24-18098
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On-site presentation
Julien Morel, Martin Claverie, Davide Fumagalli, Catherine Cauchard, Abir Mahajba, Marc Zribi, and Maurits van den Berg

Mechanistic, process-based crop models are a key component of operational systems for regional yield forecasting, such as the Mars Crop Yield Forecasting System (MCYFS) of the Joint Research Centre of the European Commission. Such systems usually rely on spatially explicit soil, weather and crop data to simulate crop growth, biomass accumulation and yield formation. 

In order to simulate crop growth over large regions, the MCYFS uses strongly simplified crop and management information. Phenology parameterization is a typical example of such simplification, as fixed sowing dates and values for phenological parameters are used across years and sub regions, resulting in potentially large differences between simulated phenology and reports from the field, ultimately reducing the accuracy of other simulated variables, such as leaf area index, biomass and yield. 

In this study, we use ground truth phenological data obtained during the past 10 years in France, with the crop model WOFOST (which is used in the MCYFS), to assess the effects of a more precise phenology parameterization on simulations and yield predictions. In addition, we built on findings from a recent study connecting phenological stages with Copernicus Sentinel-2 satellite time series to assess the operational potential of integrating remote sensing and crop modeling for the purpose of crop yield forecasting. 

The crop model WOFOST is used to simulate the growth and development of the two crops. WOFOST works at a daily time step and calculates daily biomass gains on the basis of underlying processes, such as photosynthesis, respiration, and how these processes are influenced by environmental conditions, such as irradiation, temperature and soil water conditions. Daily biomass gains are partitioned among plant organs depending on thermal-time-determined phenological stages. Phenology simulation is based on a temperature sum approach. Key phenological parameters include base temperature, set at 0 °C for wheat and 4 °C for maize, the thermal time from emergence to anthesis (TSUM1), the thermal time from anthesis to physiological maturity (TSUM2) and, in the case of wheat, a vernalization factor (Fv). 

Phenological data used in this study are derived from the “Céré’Obs” program (https://cereobs.franceagrimer.fr/cereobs-sp/), which aims to provide objective data on the status of major cereal crops in France. Data are provided at the level of administrative regions. In this study, winter wheat and grain maize are considered, from 2012 onwards. 

Baseline simulations are first performed with the standard MCYFS setting of WOFOST. Then, updated simulations are performed, following a two-step approach: first, sowing dates are forced from Céré’Obs information for each year and region in France. Then, key phenological parameters TSUM1, TSUM2 and, in the case of wheat, Fv, are recalibrated so as to minimize differences between simulated phenology and ground observations. This parameterization update is performed both with Céré’Obs-collected information and remote sensing-derived information. Model’s outputs for both standard and updated simulations are finally compared against sub-national official yields. 

How to cite: Morel, J., Claverie, M., Fumagalli, D., Cauchard, C., Mahajba, A., Zribi, M., and van den Berg, M.: How can phenology monitoring network data improve operational systems for regional yield prediction? A case study for winter wheat and grain maize in France with the WOFOST model. , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18098, https://doi.org/10.5194/egusphere-egu24-18098, 2024.

12:05–12:15
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EGU24-18553
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ECS
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On-site presentation
Alessandro Triacca, Gabriele Nerucci, Claas Nendel, Stefano Carlesi, Federico Leoni, and Anna-Camilla Moonen

The impact of climate change on agricultural systems is profound, prompting the need for adaptive crop management strategies. In this context, our study leverages the MONICA crop model, which has been finely tuned and validated using data from Italian chickpea and lentil field trials, to predict how these crops will respond to future climatic changes across Italy. Central to our research are two pivotal questions: firstly, the expected changes in chickpea and lentil phenology under future climate scenarios in Italy; and secondly, the strategies Italian farmers can employ to adjust to these phenological shifts, thereby optimizing the production of these legumes in potentially shifting cultivation areas.

The MONICA model, specifically tailored for chickpea and lentil, incorporates comprehensive field trial data to accurately simulate these crops. Applied across the Italian peninsula in a 1 km2 gridded format, the model provides an extensive analysis of how different climate conditions will affect crop phenology.

Our research is structured around three different 30-year simulation periods: a historical baseline (1994-2023), an intermediate future (2024-2053), and a distant future (2054-2083), each under two distinct IPCC emission scenarios (SSP1-2.6 and SSP2-4.5). This approach facilitates a thorough investigation into the influence of climate change on the growth and development of chickpea and lentil, with a special focus on the timing of flowering and maturity to deduce phenological changes.

Preliminary results reveal notable shifts in phenology, with significant implications for the timing of flowering and maturity, thereby affecting overall crop cycles. Subsequently, the study delves into adaptive strategies by assessing various factors, including yield, yield quality, yield stability, economic impact, water use efficiency, and soil fertility, with an emphasis on nitrogen levels.

The study evaluates four distinct crop rotation strategies:

  • Benchmark: A conventional Italian 4-year rotation comprising legume, wheat, maize, and barley.

  • Autumn Shift: The Benchmark rotation, but with chickpea and lentil sown in autumn.

  • Sustainable: Replacing maize in the Benchmark rotation with a cover crop (clover), resulting in a legume, wheat, clover, and barley sequence.

  • Sustainable Autumn Shift: The Sustainable rotation with autumn sowing for chickpea and lentil.

These strategies are scrutinized under the different climate scenarios to assess their effectiveness in adapting to the anticipated phenological changes. Early findings indicate that altering sowing dates and modifying crop rotations can markedly affect yield, yield stability, and the overall sustainability of agriculture. Specifically, crops sown in autumn, especially within the sustainable rotations, demonstrate potential in adapting to the expected shifts in phenology, poten- tially yielding more stable crops and environmental advantages.

Our research aims to furnish Italian farmers with practical insights, assisting them in adapting sowing dates and management practices to uphold sustainable legume production amidst climatic shifts. Beyond its immediate application, this research offers a framework that could be applied to other regions and crops, thereby enhancing our understanding of agricultural adaptation to climate change.

How to cite: Triacca, A., Nerucci, G., Nendel, C., Carlesi, S., Leoni, F., and Moonen, A.-C.: Adapting Italian Agriculture to Climate Change: A MONICA Model Analysis of Chickpea and Lentil Phenology Shifts , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18553, https://doi.org/10.5194/egusphere-egu24-18553, 2024.

12:15–12:25
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EGU24-14988
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ECS
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Highlight
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On-site presentation
Johanna Kauffert, Christian Ehrmantraut, Piotr Tryjanowski, Peter Mikula, Andreas König, and Annette Menzel

Plasticity and factors driving parturition dates of ungulates is a topic that has been addressed in many studies. These factors potentially give us clues about a possible trophic mismatch between the timing of seasonal events and resources due to an earlier onset of phenological spring introduced by climate change. Particularly, roe deer (Capreolus capreolus L.), the most widespread and abundant ungulate in Central Europe, has been a species of great concern. As an income breeder, it must finance the energy-demanding end of gestation and lactation by currently available resources in spring. Yet, roe deer is the only artiodactyl species known to undergo embryonic diapause, a temporal suspension of embryonic development, for four to five months after mating in summer. Hence, it could potentially adjust the end of embryonic diapause to shifting environmental conditions to match the parturition of their offspring with the advancing greening in spring. Potentially resulting shifts in parturition timing in May and June are also of great interest to farmers as parturition and rearing of fawns coincide with annual spring mowing. Due to the fawns’ hiding strategy to protect themselves from natural predators, they often fall victim to approaching mowing machinery. Although farmers are legally obliged (in Germany) and are already untiringly searching meadows before mowing, not all fields can be searched simultaneously when mowing is constrained to short time windows due to periods of favourable weather for hay and silage production. Therefore, knowledge about the much-debated plasticity to environmental conditions in roe deer may provide helpful information for preventing accidental mowing death of fawns in spring by anticipating when most of the young and immobile fawns are forecasted to be present in the meadows and allocating targeted measures.

How to cite: Kauffert, J., Ehrmantraut, C., Tryjanowski, P., Mikula, P., König, A., and Menzel, A.: Roe Deer and Plant Phenology Nexus – Match or Mismatch?, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14988, https://doi.org/10.5194/egusphere-egu24-14988, 2024.

Posters on site: Wed, 17 Apr, 16:15–18:00 | Hall X5

Display time: Wed, 17 Apr 14:00–Wed, 17 Apr 18:00
Chairpersons: Iñaki Garcia de Cortazar-Atauri, Yann Vitasse, Hans Ressl
X5.184
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EGU24-2213
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ECS
Ankita Singh and Usha Mina

Four different varieties of Ashwagandha (Withania somnifera Dunal) viz.  Vallabh 01 (V01), Vallabh 02 (V02), Pratap (P), and Chetak (C) were investigated to determine the impact of elevated temperature (ET) levels on the morphology, biomass, and concentration of phytochemicals. The plants were exposed to ET (AT ± 3˚C) from November to March 2022. Results showed an increase in the shoot length (53.1% in V01 and 22.4% in V02, P, and C), and a 70% decrease in the root length of all the varieties under ET. Enhancement in the shoot biomass production (14.05, 11.3, 1.15, and 10.29% in V01, V02, P, and C) while the decline in the root biomass production (17.07, 34.6, 1.54, and 2.33% in V01, V02, P and C) were found under ET. Under ET, V01 showed a 3.6 % decrease in the phytochemical content while the other three varieties (V02, P, C) had an increase in the phytochemical content (45.2%, 10.02%, and 32.14% respectively). The ET significantly enhanced terpenoids, steroids, and alkaloids in all varieties of W. somnifera. These findings showed that V01 is most tolerant while P is sensitive to temperature stress (V01> V02> C> P). The study revealed the tolerance ability of Withania somnifera to temperature stress in the context of climate change.

Keywords: Withania somnifera, temperature stress, climate change, phytochemical profile, growth

How to cite: Singh, A. and Mina, U.: Effect of elevated temperature on the morphology and phytochemical profile of Withania somnifera’s varieties, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2213, https://doi.org/10.5194/egusphere-egu24-2213, 2024.

X5.185
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EGU24-2311
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ECS
Geospatial assessment of treeline shifting in response to climate change in Langtang National Park, Central Nepal
(withdrawn)
Sijar Bhatta and Samiksha Wasti
X5.186
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EGU24-3469
Luis L. Paniagua, Abelardo García-Martín, Dolores García García, Cristina Aguirado, F. Javier Rebollo, Francisco J. Moral, and Fulgencio Honorio

The olive tree is mainly cultivated in the temperate zones of the Mediterranean area. Temperature is the main factor to evaluate the climatic suitability for olive cultivation. The study of the spatial and temporal variations of temperatures in a territory is necessary to define the most appropriate areas for production, as well as to evaluate different varieties. Extremadura has more than 269,000 ha of olive trees with a production of 884,960 tonnes, the third-largest surface area, and the second-largest olive-growing production in Spain. In this study the number of olive active days (OAD), the growing degree-days (GDD), and the average temperature of the olive growing period (OGST) index are analysed. The active days for the olive tree have been defined as those in which the average daily temperatures are above 14.4 °C between April and October. The minimum and maximum daily temperatures, from the meteorological data base of the Spanish government (AEMET), located in the main olive growing areas have been used, considering a period from 1991 to 2020. Mann-Kendal test and Sen's slope have been used to determine trends and their magnitude. The results show 200 active days per year, between 185 in Ibores and 215 in Vegas del Guadiana. The mean GDD value was 1514°C, varying between 1363°C in the Ibores area and 1685°C in La Serena whith a significant increasing trend in five areas. Growing degree-days have increased by an average of 4.9°C per year. The mean OGST value was 22.0°C, varying between 21.7°C in the Logrosan-Guadalupe area and 22.4°C in La Siberia. It has also shown a significant increasing trend in the index in four areas. Temperatures in the olive tree growth period have increased by an average of 0.21°C per decade, which represents an average increase of 0.67°C between 1991 and 2020.

Keywords: olive, active days, degree-days, temperature, trends, Spain.

How to cite: Paniagua, L. L., García-Martín, A., García García, D., Aguirado, C., Rebollo, F. J., Moral, F. J., and Honorio, F.: Temperature trends  in olive growing season in producing areas of Extremadura (Spain), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3469, https://doi.org/10.5194/egusphere-egu24-3469, 2024.

X5.187
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EGU24-3949
Abelardo García Martín, Luis Lorenzo Paniagua Simón, Fulgencio Honorio Guisado, Francisco Jesús Moral, Francisco Javier Rebollo, Cristina Aguirado, and Lourdes Rebollo

The olive tree (Olea europaea L.) is one of the main woody perennial crops in Europe, especially in the Mediterranean area. The area dedicated to olive cultivation in the European Union (EU) has increased in the last decade, reaching 4.6 million hectares. Extremadura (Spain) is the region with a semi-arid Mediterranean climate located most south-west of Europe. It has a great climatological contrast in the North-South direction. Numerous studies indicate that an increase in temperatures and a reduction in precipitation is expected due to climate change in the Mediterranean region. This would cause an increase in crop Evapotranspiration and a lower contribution of rain, especially in dryland crops. Using time series of climate data (1990-2021), the differences between areas have been analyzed using an Anova and Tukey test. The trend of Evapotranspiration of the olive crop and annual effective Precipitation  in 13 olive-growing regions of Extremadura was also analyzed. To determine the monotonic trend, the Mann-Kendal test and Sen's slope estimator were used. The results showed clear differences between the olive-growing areas, for the analyzed indices. An increase in Evapotranspiration was found in important Olive-growing areas. However, the effective precipitation did not show any trend. These results contribute to the climatic characterization of the Olive-growing regions of Extremadura and could affect the yields and quality of production, requiring a varietal adaptation and cultivation techniques, as well as a change in the distribution of suitable cultivation areas.

Keywords: Olive tree, Agroclimatology, Evapotranspiration, Extremadura

How to cite: García Martín, A., Paniagua Simón, L. L., Honorio Guisado, F., Moral, F. J., Rebollo, F. J., Aguirado, C., and Rebollo, L.: Characterization of Evapotranspiration and effective precipitation in the Olive Areas of Extremadura, Spain. (1990-2021), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3949, https://doi.org/10.5194/egusphere-egu24-3949, 2024.

X5.188
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EGU24-4051
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ECS
Branimir Omazić, Maja Telišman Prtenjak, Marko Kvakić, Josip Meštrić, Marijan Bubola, Ivan Prša, and Marko Karoglan

The increase in temperature affected the entire plant world, including the vines. These changes are reflected in the quantity and quality of the harvest, the chemical composition, and the appearance of the phenological phases of the grapevine. The shift of budding towards the beginning of the year can be particularly worrying due to the frequent occurrence of frost in the continental area of ​​Croatia. The shift of the harvest towards the warmer part of the year brings problems when storing grapes. Due to the great importance of viticulture for agriculture and tourism in Croatia, it is necessary to examine changes in the occurrence of phenological phases in current and future climatic conditions.

Due to all of the above, statistical models were developed to describe the occurrence of phenological phases. Also, the crop model STICS was parameterized for the Croatian region and four grape varieties. Bayesian statistics were also used to get an insight into the amount of earlier and later harvests. To get a clearer picture of the changes in the future climate three CORDEX Regional Climate Models (RCMs) simulations (CLMcom-CCLM4-8-17, SMHI-RCA4, CNRM-ALADIN5.3) for the Croatian domain and varieties were used in this research. All RCMs are forced by output from Global Climate Models (GCMs) with moderate (RCP4.5) and high-end (RCP8.5) greenhouse gas (GHG) scenarios. SMHI-RCA4 is driven by five different GCMs (CNRM-CERFACS-CNRM-CM5, ICHEC-EC-EARTH, IPSL-IPSL-CM5A-MR, MOHC-HadGEM2-ES and MPI-M-MPI-ESM-LR), CLM by four (CNRM-CERFACS-CNRM-CM5, ICHEC-EC-EARTH and MOHC-HadGEM2-ES, MPI-M-MPI-ESM-LR), and CNRM-ALADIN5.3 with one (CNRM-CERFACS-CNRM-CM5). All the simulations have horizontal grid spacing of 0.11◦.

The results show clear trends in the budburst and harvest shifting in Croatia, regardless of the variety. Future climate analysis indicates a further shift in the occurrence of phenological phases towards the beginning of the year (that is, an earlier occurrence). The expected shifts in budburst in the period P2 (2041-2070) compared to the period P0 (1971-2000) are more pronounced for traditional varieties ('Graševina' and 'Plavac mali'), where median differences suggest shifts of 15 days towards the beginning of the year, regardless of the RCP scenario. The results indicate a shift in budburst to early March, which is a particular threat for white varieties that are mostly grown in continental parts of Croatia where low temperatures and frost in March can reduce most of the harvest. In addition, the results indicate a further shift in harvesting in the future climate, and an increase in the number of early harvests, and a decrease in the number of later harvests, regardless of location and variety. The reduction in later harvests is the most significant and can be expected in the range of approximately 30-75%. So, according to the results, in the 30-year period (2041-2070) 30-75% of the years will no longer have the later harvest that took place in the period 1971-2000.

How to cite: Omazić, B., Telišman Prtenjak, M., Kvakić, M., Meštrić, J., Bubola, M., Prša, I., and Karoglan, M.: Changes in grapevine budburst and harvest dates in Croatia under current and future climate conditions, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4051, https://doi.org/10.5194/egusphere-egu24-4051, 2024.

X5.189
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EGU24-4891
JiHyun Kim, Soyoung Sohn, and Yeonjoo Kim

Vegetation phenology is a critical indicator of terrestrial carbon and water dynamics; therefore, it is essential to understand its sensitivity to the changing climates, especially to rising temperatures. A wide range of phenological responses can be explored in urban areas where anthropogenic activities elevated temperatures as well as artificial lights. In this study, we analyzed one decade (2012 - 2021) of data on surface temperature, phenology, and land cover from the Moderate Resolution Imaging Spectroradiometer (MODIS) and artificial lights at night (ALAN) data from the Visible Infrared Imaging Radiometer Suite (VIIRS) over the capital of South Korea and its surroundings. We calculated urban cover fractions (UCF) and estimated the long-term trends of the start of the season and the end of the season (ΔSOS and ΔEOS) and the temperature during the SOS and EOS (ΔTSOS and ΔTEOS) and in the ALAN (ΔALAN). We then investigated how much of those factors (i.e., ΔT, ΔALAN, and UCF) contributed to the ΔSOS and ΔEOS and explored temperature sensitivities of the ΔSOS and ΔEOS under different conditions. We found that the SOS appeared to advance by three days per decade (p = 0.068), while the EOS was delayed significantly (p < 0.001) by four days per decade over most of the study region. We also noticed that 70% of ΔSOS was primarily attributed to UCF, while ΔTSOS drove the rest. For the ΔEOS, the influence of ΔALAN appeared to be substantial (26%), with ΔTEOS having a similar contribution level (31%). We show that the temperature sensitivity of ΔSOS is higher by 4.5% in the highly urbanized areas, and the temperature sensitivity of ΔEOS is 4.3% higher in the regions with increasing lights. Our results suggest that vegetation phenological response to the increasing temperature would become complicated with the increases of urban-like conditions (i.e., higher levels of CO2 concentration), therefore highlighting the importance of further studies for a better understanding of terrestrial vegetation responding to the changing climates.

This study is supported by the National Research Foundation of Korea (NRF) grants funded by the Korean government (MSIT) (2020R1C1C1014886 and 2022R1C1C2009543), the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure, and Transport (22CTAP-C163540-02), and the Korea Environment Industry & Technology Institute (KEITI) funded by Korea Ministry of Environment (2022003640002).

How to cite: Kim, J., Sohn, S., and Kim, Y.: Phenological responses to urban heat and light in the Greater Seoul area , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4891, https://doi.org/10.5194/egusphere-egu24-4891, 2024.

X5.190
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EGU24-5594
Francisco Jesús Moral García, Francisco javier Rebollo Castillo, Cristina Aguirado Montero, Lourdes Rebollo Moyano, Abelardo García Martín, Luis Lorenzo Paniagua Simón, and Fulgencio Honorio Guisado

Understanding drought, or wetness, conditions is essential not only for the rational use of water resources but also for explaining landscape and ecological characteristics. Climate change is expected to lead to an increase in aridity in many parts of the world. In semi-arid regions with warm climates, aridity poses a significant hazard, leading to the potential for desertification due to increased precipitation variability and prolonged droughts. Aridity indices can be employed to identify areas susceptible to desertification. In order to analyse the distribution of aridity in Extremadura, particularly in the areas covered by the olive oil denominations of origin in this region (the cultivation of olive trees is of great economic and social importance in Extremadura), the De Martonne aridity index (IDM) has been used. Temperatura and precipitation data from 81 weather stations located throughout Extremadura, within the 1951–2010 period, were utilised to calculate IDM at every station. Later, the IDM was mapped using an integrated Geographic Information System (GIS) and a multivariate geostatistical approach (regression-kriging) that incorporated comprehensive secondary information on elevation. Annual an seasonal IDM-kriged maps were generated. Finally, temporal trends were analysed using the Mann-Kendall test, and the Sen’s estimator was utilised to estimate the magnitude of trends. An increase in aridity, as the IDM decreased, was apparent during the study period, mainly in the more humid locations of the north. An increase of the seasonal IDM was also found, but it was only statistically significant in some locations in spring and summer, with the highest decreasing rate in the north of Extremadura. Although the denominations of origin in the north of the region have higher decreasing rates, leading to a drier climate, the areas in the centre and south of the region and, in consequence, the denominations of origins within these areas, with more arid climates, can be more seriously affected by the increasing aridity.

Keywords: Aridity; Climate Change; De Martonne aridity index; Extremadura; Olive tree.

How to cite: Moral García, F. J., Rebollo Castillo, F. J., Aguirado Montero, C., Rebollo Moyano, L., García Martín, A., Paniagua Simón, L. L., and Honorio Guisado, F.: Spatial analysis of the annual and seasonal aridity trends in the Main Olive-Growing Areas of Extremadura (southwestern Spain), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-5594, https://doi.org/10.5194/egusphere-egu24-5594, 2024.

X5.191
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EGU24-6105
Fulgencio Honorio Guisado, Cristina Aguirado Montero, Luis Lorenzo Paniagüa Simón, Ablardo García Martín, Lourdes Rebollo Moyano, Francisco Javier Rebollo Castillo, and Francisco Jesús Moral García

Climate is considered one of the most influential factors in vegetative development, formation and quality of fruits. The study based on bioclimatic indices and the orography of a territory makes it possible to evaluate its suitability for a specific crop and find areas with particularities. This study shows the analysis and trend of the Number of Days with Optimal Temperatures for Carbohydrate Synthesis (NDCHS), in the 12 olive-growing areas (270,000 ha) of Extremadura (Southwest of Spain). Based on the average daily temperature of the 75 climatic stations located in the olive-growing areas, the NDCHS was calculated for the period 1990-2021. To determine the trend, the Mann-Kendal test and Sen's slope estimator were used, and the Pearson test was used to obtain the correlation between the climatic variables. The results show an annual average of 111 days for the NDCHS. The minimum value was found in Ibores with 100 days and the maximum in Vegas del Guadiana with 120 days. The Pearson correlation obtained a maximum value of 0.848 with the average temperature. The Mann-Kendall test showed significant increasing trends in 8 of the 12 olive-growing areas with a minimum of 0.34 (Sen's slope) in Logrosán-Guadalupe and a maximum of 0.76 for the regions of Alburquerque and Vegas del Guadiana. A general average increase of 0.54 NDCHS per year was found for the olive-growing regions in the period studied.

Keywords: Olive tree, Extremadura, olive-growing areas, carbohydrates

How to cite: Honorio Guisado, F., Aguirado Montero, C., Paniagüa Simón, L. L., García Martín, A., Rebollo Moyano, L., Rebollo Castillo, F. J., and Moral García, F. J.: Analysis of the optimal temperatures for the synthesis of carbohydrates during the productive period of the olive tree in the olive-growing areas of Extremadura, Spain., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6105, https://doi.org/10.5194/egusphere-egu24-6105, 2024.

X5.192
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EGU24-6333
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ECS
Marta Fernandez Pastor and the Iberian Future Wines Research Team

The phenology of wine grapes has emerged as a crucial aspect for comprehending and forecasting the impacts of climate change on viticulture. This is due to phenology being essential in evaluating the suitability of grape varieties to future conditions. However, there is still a lack of quantitative characterization for key phenological stages in a majority of indigenous wine grape varieties from Spain and Portugal. Here we analyze the phenological responses to climate of predominant grape varieties in the Iberian Peninsula, including Tempranillo, Airen, Garnacha, Macabeo, and other varieties like Albariño, Godello, Pedro Ximenez, Fernão Pires (Portugal), which are extensively cultivated in specific regions. We compiled a comprehensive dataset from research centers and specialized organizations such as Origin Denominations across the Iberian Peninsula. The recorded field observations were then compared against well-established agroclimatic indices, such as Growing Degree Days (GDD), days with maximum temperature above 35°C, or days below 10ºC, amongst others. Even within our limited set of varieties, we observed surprising diversity in responses, supporting phenology-based varietal selection as an adaptive solution. This underscores the necessity to continue documenting phenology for many other locally understudied varieties. Our findings fill a knowledge gap, contributing to ongoing efforts in refining varietal selection strategies for adapting viticulture to climate change.

How to cite: Fernandez Pastor, M. and the Iberian Future Wines Research Team: Phenological characterization of major winegrape varieties in the Iberian Peninsula, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6333, https://doi.org/10.5194/egusphere-egu24-6333, 2024.

X5.193
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EGU24-7233
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Highlight
Yann Vitasse, Shilong Ren, Charlotte Grossiord, Manuel Walde, and Constantin Zohner

Phenological events in temperate plants are highly dependent on external factors such as temperature and photoperiod, but also on internal factors linked to the plant's development. Recent studies have demonstrated a strong correlation between the timing of autumn leaf senescence in temperate trees and temperature conditions before the summer solstice that alter the rate of plant development. However, experimental evidence to specifically test this hypothesis is lacking. Here, we examined how accelerated growth in early summer induced by warmer temperatures affects the timing of senescence in three common European trees: Carpinus betulus, Tilia cordata and Acer platanoides. Potted saplings were grown under "ambient" open top chambers (OTCs), i.e. with similar temperature as outside the OTC, and under actively warmed OTCs, i.e. +5°C above the ambient, from January until the summer solstice. At the summer solstice, all the potted trees were transferred to an unheated greenhouse, sharing the same climatic conditions until leaf fall in autumn. Plant diameter and height were measured before bud burst, at the summer solstice and after leaf senescence. In addition, gas exchange measurements were conducted before and after the summer solstice to assess leaf performance. Finally, leaf senescence was measured weekly, visually and using a chlorophyll meter, from August until leaf fall.

Leaf-out dates were strongly advanced in the warming treatment for all species (14–28 days). Primary growth was not affected by warming for any species whereas secondary growth was significantly enhanced in the warming treatments for C. betulus and T. cordata. Interestingly, the initiation of leaf senescence occured significantly earlier for the saplings that were subjected to warmer temperature in early summer for C. betulus and T. cordata but not for A. platanoides, suggesting an effect of secondary growth rate during early summer in regulating the start of leaf senescence. Chlorophyll content, photosynthesis and SLA also showed significant differences between the two temperature conditions applied in early summer for C. betulus and T. cordata, even when measured several months after their transfer to the same conditions. Specifically, at the end of summer, leaves that were exposed to the warming treatment in early summer were less efficient for carbon assimilation, had lower chlorophyll content, showed higher SLA (T. cordata only) and started coloration earlier than the ones kept under ambient conditions during early summer.

Our results suggest that there is a strong link between growth development in spring and the timing of leaf senescence onset in autumn as recently shown at large scale in the northern hemisphere. More studies focusing on molecular and/or on tree physiological mechanisms should be conducted to identify the underlying mechanisms responsible for the link between secondary growth rate in early summer and the onset of leaf senescence. 

How to cite: Vitasse, Y., Ren, S., Grossiord, C., Walde, M., and Zohner, C.: Enhanced secondary growth induced by warmer temperatures in early summer advances autumn leaf senescence in temperate saplings, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7233, https://doi.org/10.5194/egusphere-egu24-7233, 2024.

X5.194
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EGU24-8438
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ECS
Josip Meštrić, Maja Telišman Prtenjak, Branimir Omazić, and Marko Kvakić

Many studies have shown how changes in air temperature affect the dates of occurrence of phenological phases. Grapevine plays a significant socio-economic role, both in Croatia and throughout the entire Mediterranean region. 'Graševina' and 'Plavac mali' are the most represented varieties in Croatia, so the emphasis in this research is on them at four different locations: Daruvar, Križevci, Hvar, and Lastovo. In addition to 'Graševina' and 'Plavac mali,' international varieties such as 'Chardonnay' and 'Merlot' were also observed.

STICS is a plant development model that simulates the soil-plant-atmosphere relationships based on the water, carbon, and nitrogen balance required for the growth of different crops, whether annual and/or perennial, herbaceous and/or woody.

The optimization of parameters was carried out using the implemented Nelder-Mead simplex method. Although it is desirable to optimize as many parameters as possible, in reality, increasing the number of parameters complicates the model. Therefore, it is necessary to find a compromise and determine the minimum number of parameters sufficient for quality optimization. In this work, 10 parameters were selected. These are parameters that are common to all predefined varieties and had different values.

During measurements, the STICS model showed satisfactory results at three out of four observed stations. The model verification demonstrated success with correlations primarily between r=0.6 and r=0.8. The performance of the model can be visually represented in various ways. In this work, two methods were employed: QQ plot and Taylor diagram.

Phenological and meteorological data from the Croatian Meteorological and Hydrological Service were used.

How to cite: Meštrić, J., Telišman Prtenjak, M., Omazić, B., and Kvakić, M.: Parameterization and verification of the STICS model for grapevines in the region of Croatia, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8438, https://doi.org/10.5194/egusphere-egu24-8438, 2024.

X5.195
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EGU24-10021
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ECS
Petra Dížková, Lenka Bartošová, Markéta Poděbradská, Monika Bláhová, Milan Fischer, Daniela Semerádová, Jan Balek, Lenka Hájková, Zdeněk Žalud, and Miroslav Trnka

Using remote sensing data to assess plant phenology is a useful method for monitoring areas at larger spatial scales. One of the most widely used methods for analyzing changes in the timing of the growing season is the employment of vegetation indices and phenological metrics (phenometrics) derived from them. Using phenometrics, it is possible to evaluate changes in the growing season for different land covers and different environmental conditions not only at the local level but also in larger areas. At the larger scales, the meteorological conditions and especially their influence on plant phenology can be more diverse. For the determination of basic phenometrics (the start of the growing season (SOS), the end of the growing season (EOS), and the length of the growing season (LGS)), we used Enhanced Vegetation Index2 (EVI2) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Phenometrics and their trends were calculated for four different land covers (arable land, broad-leaved forest, coniferous forest, and grassland) in the time period from 2000 to 2022 in the central European region. Furthermore, the changes in the timing of the growing season were calculated in different altitude and environmental zones and their trends were compared with meteorological variables (e.g., minimum and maximum air temperature, length of day, global radiation, precipitation, soil moisture, etc.). Based on this analysis, the main factors influencing phenological changes for different land covers were evaluated in different environmental conditions.

Acknowledgment: This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic (grant AdAgriF - Advanced methods of greenhouse gases emission reduction and sequestration in agriculture and forest landscape for climate change mitigation (CZ.02.01.01/00/22_008/0004635).

How to cite: Dížková, P., Bartošová, L., Poděbradská, M., Bláhová, M., Fischer, M., Semerádová, D., Balek, J., Hájková, L., Žalud, Z., and Trnka, M.: Analysis of meteorological variables influence on the growing season in Europe, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10021, https://doi.org/10.5194/egusphere-egu24-10021, 2024.

X5.196
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EGU24-10866
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Highlight
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Helfried Scheifinger, Thomas Hübner, and Hans Ressl

Via electronic media like smart phone apps volunteer observers of phenological networks are able the immediately transmit their eye observations and photographs to the data base. Based on such real time observations some phenological network operators provide graphical displays of the current phenological development on their respective home pages. The graphical representation of near real time phenological observations allow a number of interesting and useful applications.

The numbers of phenological observations and of reporting observers can be monitored in real time. They typically reflect the seasonal variation of the frequency of phenological events with a strong spring maximum and a lesser autumn maximum. The effect of phenology related media releases on observation numbers can be assessed as well. The long term trend of active observer and observation numbers helps to evaluate the measures for recruiting and encouraging volunteer observers.

Another application is the quality control of phenological observations. Photographs of plants and their phases might be checked by the network operator and in case of species or phase misidentification the observer might be contacted for feedback from the operator. Many phenological phases display a distinct regression with station elevation, which helps to detect outliers via scatter plots.

Phenological real time observations are the basis for monthly phenology reports, which are published for instance on the phenowatch home page during the phenologically active season (www.phenowatch.at). In mid- to higher latitudes the sequence of cold/warm events are well reflected by the variations of the phenological progress.

The current phenological development of fruit trees may be combined with the expected daily minimum temperatures and thus provide a hint to potential late frost damage events during the frost sensitive flowering period.

Another application of real time phenological observations has emerged due to sponsoring of biodiversity enhancing measures for grassland (“The European Green Deal” for instance). Grass cutting dates can be optimised via phenological real time observations. Thus cutting dates are not unnecessarily late to the disadvantage of the farmer nor too early to the disadvantage of biodiversity.

Finally, monitoring phenological trends might be the most exciting topic to be accomplished via real time phenological observations. Currently observed phenological entry dates can be related to long term trends, whether they indicate a continuation, flattening or steepening of the trends. At the next level questions dealing with explanations of the trends, potential future phenological changes and their significances might be investigated. Climate impact on ecosystems as exemplified by phenology constitutes an important motivation to continue with the operation of phenological observation networks.

The phenology team at GeoSphere Austria, Austria’s national weather service, created during the last couple of years a number of graphical representations for the above mentioned purposes, which are being introduced in this poster.

How to cite: Scheifinger, H., Hübner, T., and Ressl, H.: Graphical representation of real time phenological information for the purpose of quality control, Citizen Science participation, media and climate impact monitoring, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10866, https://doi.org/10.5194/egusphere-egu24-10866, 2024.

X5.197
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EGU24-16853
Lenka Bartošová, Petra Dížková, Jana Bauerová, Jan Balek, Zdenka Křenová, Eva Svobodová, Monika Bláhová, Lenka Hájková, Martin Možný, Zdeněk Žalud, and Miroslav Trnka

The impact of climate change on phenological timing is well-known and described in the scientific literature. Most papers agree that rising temperature accelerates the onset of spring phenological phases. Nevertheless, there is more significant disagreement in the synchronicity or asynchronicity of phenological trends of individual species. In this study, therefore, we will work with long-term phenological data that have been observed continuously in floodplain forests (and relate to herbs, shrubs, trees, and bird populations) from 1961 to the present. The observed plants and bird species showed statistically significant (p < 0.05) shifts in phenological terms to an earlier year. Still, the rate of the shift among the observed species differed. The most progressive shifts were detected for the herbs (2.3 days per decade), followed by the shrubs (2.2 days per decade), trees (1.4 days per decade), and finally, the bird species (also 1.4 days per decade). There are many changes in trends within the specific species group – e.g., quite a considerable variability was detected for herbs – the phenophase ´full flowering´ trend is moving between 1.3 and 3.3 days per decade. For this reason, we also include the role of pollinators within this study - bumblebees (Bombus) as a new input to the phenological observations to see if there is any asynchrony between these early spring species.

 

Acknowledgment: This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic (grant AdAgriF - Advanced methods of greenhouse gases emission reduction and sequestration in agriculture and forest landscape for climate change mitigation (CZ.02.01.01/00/22_008/0004635).

How to cite: Bartošová, L., Dížková, P., Bauerová, J., Balek, J., Křenová, Z., Svobodová, E., Bláhová, M., Hájková, L., Možný, M., Žalud, Z., and Trnka, M.: Phenological variability between species of floodplain forests and the role of the pollinators, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16853, https://doi.org/10.5194/egusphere-egu24-16853, 2024.

X5.198
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EGU24-13418
Hrvoje Marjanović, Anikó Kern, Mislav Anić, Doroteja Bitunjac, and Maša Z. Ostrogović Sever

Estimating climate-change-induced changes in biological systems, e.g., tree phenology, requires long, consistent and reliable datasets. Phenology observations within meteorological and other ground observation networks provide invaluable data but are of limited geographical distribution and observational range. Remote sensing observations surpass such problems and have been extensively used in phenology research, but suffer from other issues such as coarse spatial resolution, relatively long observation repeat cycles, issues due to clouds, short observational time series, etc. Those issues limit the number of remote sensing platforms which are suitable for the analysis of possible changes in the phenology of forest tree species at a local or regional level. NDVI derived from the MODIS daily measurements of reflectances at 250 m resolution spanning from 2000, in combination with tree species distribution maps from forest management plans, might be an optimal tool for investigating recent shifts in species-specific tree phenology at a local or regional level. Increased frequency of climate extremes, such as late spring cold spells, combined with the sensitivity of deciduous trees to frost damage during leaf unfolding and flowering, threatens the health and regeneration capacity of forests. The possible decoupling of tree and animal phenology additionally strains the entire forest ecosystem. These problems are exacerbated in urban and peri-urban forests, such as forests in Mount Medvednica Nature Park, Croatia, which are of major importance to the well-being of the people living in the Zagreb metropolitan area. Urban and peri-urban forests are exposed not only to the effects of climate change but also to the negative effects of pollution and the ‘urban heat island’ which all affect the timing and duration of leaf unfolding. 
Our research aims to quantify the changes in the spring phenology of Mt Medvednica’s forests during the period 2000–2020 using MODIS NDVI at 250 m, local forest management maps with tree species distribution information, and a digital elevation model. Our results show a delay in the Start of Season (SOS) with the overall trend of 0.12 days·yr-1, but only due to SOS delay in common beech (F. sylvatica, 0.13 day·yr-1), which might be a consequence of delay in meeting the chilling requirement needed to end the dormancy. Other deciduous tree species showed no significant trend in SOS. On the other hand, the End of Green-up (EOG) occurred sooner for all investigated tree species, with an average trend in EOG of –0.18 days·yr-1 (F. sylvatica and Q. pubescens, –0.17; Q. cerris,  0.21; Q. petrea and Castanea sativa, –0.23 day·yr-1). Consequently, during the 21 years of observation, the duration of leaf development of Mt Medvednica’s forests was on average shortened by 6.5 days.

Keywords: phenology, leaf unfolding, MODIS, NDVI, peri-urban forests, Mount Medvednica.

Acknowledgements:
The research has been supported by the Croatian Science Foundation project MODFLUX (HRZZ IP-2019-04-6325), by the Hungarian Scientific Research Fund (OTKA FK-146600) and by the TKP2021-NVA-29 project of the Hungarian National Research, Development and Innovation Fund. We thank to Croatian Forests Ltd. for granting access to their forest database and Croatian Meteorological and Hydrological Service for providing meteorological data.

How to cite: Marjanović, H., Kern, A., Anić, M., Bitunjac, D., and Ostrogović Sever, M. Z.: Detecting species-specific changes in spring phenology of Mt Medvednica forests using NDVI obtained from remote sensing with MODIS , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13418, https://doi.org/10.5194/egusphere-egu24-13418, 2024.

X5.199
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EGU24-17609
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ECS
Andrea L. Silva-Cala, Robert Rauschkolb, Solveig Franziska Bucher, Jens Kattge, Sönke Zaehle, and Christine Römermann

Knowing and understanding variation in plant phenology is important for three main reasons. 1. Plant phenology is sensitive to climate change, 2. Plant phenology influences the dynamics and interactions between species, and 3. It drives important ecosystem functions. Still, large-scale, macroecological analyses spanning several phenological databases from various continents and environmental conditions are scarce.

Here we present the first results of a global analysis of the relationship between phenological events and functional traits in herbaceous plant species as a basis for predicting variations in ecosystem functions. More specifically, we analyzed phenological data from three different data sources: the PEP725 database from Europe, the NPN database from the US, and the PhenObs database from a global network of botanical gardens (www.idiv.de/en/phenobs). We evaluate spatio-temporal variations of three phenological stages: leaf emergence, open flowers, and onset of senescence. We linked phenological variations in space as well as phenological variations in time with variations in temperature (extracted from CRU TS database v4.07) of the observation periods and observation sites, respectively. Deduced associations between phenology and temperature across time and space were compared between Europe and North America, and between controlled environments in botanical gardens and natural environments.

First results indicate that the direction of phenological responses to changes in temperature is consistent across time and space. However, the variability of this response is higher across time compared to space. This higher variation phenology is not explained by differences in variations of temperature, but we assume that other environmental and climatic factors could vary more strongly across the spatial compared to the temporal gradient. The phenological responses of plants growing in botanical gardens to increasing temperature, were less variable compared to plants growing in uncontrolled environments. We attribute these differences to botanic garden management, such as irrigation, which mitigates the effects of increased temperature and drought on herbaceous species phenology. On our poster, we will further determine the climatic factors and functional traits that explain inter- and intraspecific phenological variability.

How to cite: Silva-Cala, A. L., Rauschkolb, R., Bucher, S. F., Kattge, J., Zaehle, S., and Römermann, C.: Are space-for-time substitution approaches appropriate in phenology research? Results from a macroecological approach, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-17609, https://doi.org/10.5194/egusphere-egu24-17609, 2024.

X5.200
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EGU24-18358
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Highlight
Montserrat Busto and Xavier de Yzaguirre

Catalonia has been experiencing the most important drought since, at least, 1970. This three-year drought has not experienced any significant precipitation episodes and has particularly affected terrestrial ecosystems.

The Mediterranean vegetation, adapted to periods without rain, overcame the first year of drought (2021) without great phenological impact beyond specific places and individuals.

In the second year of drought (2022), the lack of water affected sprouting, fruiting, and leaf senescence, such as lower fruit productivity and smaller-than-normal fruit size.

During the third year of drought (2023), the strong water stress has directly threatened the survival of some monitored species. The ones that have not died present several phenological anomalies such as lack of flowering (with the consequent absence of fruit), minimal foliation, and drying of branches of the entire individual.

Such resilient species as holm oak, almond tree, grey-leaved cistus, olive tree, strawberry tree and grape have been affected. In the inland agricultural area of Catalonia irrigated by the Canal d'Urgell, there has been an obligation to limit support irrigation to a minimum to keep trees alive, which has caused the loss of the harvest in many places.

These three years without rain have been accompanied by an increase in the average temperature which has advanced ripening. Abnormally warm autumns have led to second blooms or re-sprouting of leaves (grape and shadow plane tree, for example). The mild temperature of the 2023 winter has complicated the structural pruning of the vine and other fruit trees due to the absence of the physiological winter stop.

How to cite: Busto, M. and de Yzaguirre, X.: Consequences of three years of drought in Catalonia, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18358, https://doi.org/10.5194/egusphere-egu24-18358, 2024.

X5.201
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EGU24-18968
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ECS
Michael Meier

Forests and atmosphere interact, for example when trees assimilate and respire CO2 during photosynthesis. Depending on their productivity and net assimilation, forests may function as a carbon sink or source. Further, the amounts of synthesized sugars assigned to growth, reproduction, and defense affect the fitness of the trees and eventually the distribution of species. Climate strongly impacts such forest-atmosphere interactions, which affect forests and in turn feed back to the climate.

For deciduous trees, the beginning and end of the photosynthetically active pe­riod (i.e., the ‘growing season’) relate to spring and autumn leaf phe­nology (i.e., leaf unfolding and leaf senescence), respectively. The climatic conditions during the growing season (i.e., the ‘bioclimate’) are directly and indirectly influenced by climate change, as climate change alters the timing and length of the growing season through shifts in leaf unfolding and leaf senescence. While past changes in leaf unfolding and leaf senescence can be analyzed by in-situ observations, the underlying drivers and particularly possible future changes are often studied with pro­cess-oriented models. However, these models may suffer from a bias to­wards the mean (BTM), which causes the simulated values to be closer to the average than the observations and could result in overly flat simulated trends.

Here I discuss (1) changes in the growing season and bioclimate in Switzerland during recent decades, (2) impacts of the calibration approach on the performance of 21 leaf se­nescence models tested with observations from Central Europe, and (3) effects of the BTM in these models on their performance and projections. Growing seasons have predominately lengthened at elevation-specific rates, which was primarily caused by changes in leaf senescence and increased the number of days with a negative atmospheric water balance at low elevations. Calibrations with the Gen­eralized Simulated Annealing algorithm and with systematically balanced or stratified samples yielded the best performing leaf senescence models, while their performance was most influenced by their structure. The BTM caused the performance of current leaf senescence models to be only slightly better than the performance of a null model that constantly simulates the average of the calibration sample. Standard model comparisons favored models with stronger BTM, while models with weaker BTM projected smaller backward shifts in future leaf senescence. The latter is counter-intuitive, since smaller shifts result from flatter trends and are therefore associated with stronger rather than weaker BTM.

I conclude that (1) the effects of phenological changes on the bioclimate should be considered when studying past and future forest productivity and species composition, (2) inference from process-oriented models to the underlying processes and drivers of leaf senescence is valid, and (3) current leaf senescence projections are highly uncertain and thus unreliable. While it is likely that current projections of future biosphere behavior under global change are distorted by erroneous state-of-the-art leaf senescence models, there is ample need and potential for the development of more accurate process-oriented models.

How to cite: Meier, M.: Climate change-induced shifts in leaf phenology of trees: past and future trends, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18968, https://doi.org/10.5194/egusphere-egu24-18968, 2024.

X5.202
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EGU24-19657
Jose A. Caparros-Santiago, Miguel A. Garcia-Perez, and Victor Rodriguez-Galiano

Land surface phenology (LSP), the study of seasonal dynamics on the vegetated land surface from satellite data, has contributed to improve the understanding of the phenological dynamics of vegetation in boreal and temperate ecosystems located in the high and mid-latitude regions of the Northern Hemisphere. Iberian Peninsula is one of the most biologically rich regions of the European continent, where endemic plant species are very common. Hence, the ecosystems of the Iberian Peninsula provide a wide variety of ecosystem services, which may be altered by changes in climatic conditions. LSP has not been studied in detail in the Iberian ecosystems. Despite their ecological importance and vulnerability to climate change, there is a lack of an exhaustive and long-term characterisation of the phenological patterns of the main natural vegetation land cover types of the whole Iberian Peninsula. Therefore, the goal of this study was to monitor the LSP dynamics across major natural vegetation land cover types in the Alpine, Atlantic, and Mediterranean biogeographical regions of the Iberian Peninsula. Two-band Enhanced Vegetation Index (EVI2) time-series were generated from the MOD09Q1 surface reflectance product from January 2001 to December 2021. This MODIS product is based on 8-day image composites at a spatial resolution of 250 meters. The methodology to estimate LSP from raw EVI2 time-series followed two steps, including a) data denoising and b) the extraction of spring and autumn phenometrics. A double logistic function was used to smooth the EVI2 time-series from TIMESAT software. Start of the growing season (SOS) (i.e., proxy of the spring phenology) and the end of the growing season (EOS) (i.e., proxy of the autumn phenology) were extracted using a 10% threshold-based technique.

Results of this research showed spring and autumn phenometrics had a similar spatial pattern across major natural vegetation land cover types of the three biogeographic regions of the Iberian Peninsula. Generally, SOS dates were in March-April, while EOS dates were in November-December. Despite this, the spatial patterns of LSP were very different in Mediterranean shrublands, savannahs and grasslands. SOS and EOS dates showed the highest variability in these natural vegetation land cover types. The growing season generally started between October and February (SOS) and ended between June and November (EOS). The spatial variability of spring and autumn phenometrics in these three natural vegetation cover types may be related to several factors: i) the mixture of the phenological cycles of different functional vegetation types (e.g., herbaceous, shrub or tree vegetation); ii) the mixture of phenological trajectories of multiple plant species; iii) the influence of non-vegetation cover, such as bare soil, affecting spectral information. These LSP patterns of natural vegetation cover types in the Iberian Peninsula could contribute to improve the understanding of the response of Iberian ecosystems to climate change.

How to cite: Caparros-Santiago, J. A., Garcia-Perez, M. A., and Rodriguez-Galiano, V.: Land surface phenology across major natural vegetation land cover types and biogeographical regions in the Iberian Peninsula, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-19657, https://doi.org/10.5194/egusphere-egu24-19657, 2024.

X5.203
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EGU24-22513
Jelle Lever, Stefan Simis, Xiaohan Liu, Luis J. Gilarranz, Petra D’Odorico, Christian Ginzler, Achilleas Psomas, Alexander Damm, Arthur Gessler, Yann Vitasse, and Daniel Odermatt

Changing environmental conditions caused by climate change, eutrophication, and other anthropogenic factors affect the timing, duration, and surface extent of lake algae blooms across the globe. It remains, however, challenging to quantify the relative impacts of different environmental changes on the timing and characteristics of lake algae blooms, and to detect phenological trends over time, as these blooms vary considerably from year to year. Global data sets that may allow us to study algae-bloom properties along a wide range of environmental conditions and years are needed to address these challenges.

For this study, we developed such a data set using satellite remote sensing. We analyze the phytoplankton phenology of 2025 lakes across a wide range of climate zones over a period of approximately 20 years. More specifically, we used daily lake chlorophyll estimates derived from MERIS and OLCI data to extract phenology metrics (e.g. the onset and decline of peaks in chlorophyll concentration) for individual pixels within each of the 2025 lakes. Through a newly developed method, we determined the timing of blooms, i.e. clusters of peaks in different pixels occurring within the same lake during the same period of the year, and, subsequently, studied the change in the timing, duration, and size of those blooms across years.

This will, ultimately, help us to get a better overview of the extent to which lake algae blooms have changed across the globe, to attribute those changes to anthropogenic drivers, and to develop effective environmental policies to combat those changes where needed.

How to cite: Lever, J., Simis, S., Liu, X., Gilarranz, L. J., D’Odorico, P., Ginzler, C., Psomas, A., Damm, A., Gessler, A., Vitasse, Y., and Odermatt, D.: Towards a global, remotely sensed monitoring of lake phytoplankton phenology, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-22513, https://doi.org/10.5194/egusphere-egu24-22513, 2024.

X5.204
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EGU24-22525
Frederik Baumgarten and Elizabeth Wolkovich

Trees inhabiting seasonal climates organize their life cycle activities following an internal program termed phenology. The rising temperature through global warming has substantially influenced the timing of these phenological events, most prominently studied through the advancement of leaf emergence. Moreover, changes in precipitation patterns have led to severe drought events that have increased in both intensity and frequency worldwide. Both trends necessitate trees to adjust and synchronize their annual cycle within the ‘window of opportunity’ presenting itself based on favourable temperature and available soil moisture. Depending on when critical water limitations occur, tree species are affected at different developmental stages throughout their seasonal cycle. Thus, the severity of impact at a given stage and/or the flexibility to shift developmental and growth activities determine whether the same stressor results in mortality or minor growth reductions.

We used over 1000 saplings of six North American tree species (Sequoia sempervirens, Pinus contorta, Quercus garryana, Betula papyrifera, Prunus virginiata, and Acer macrophyllum) to investigate how flexibly (or conservatively) trees re-arrange (or stick to) their phenological sequence and growth activities when impacted by a) drought or b) defoliation events. Both treatments were applied separately at three different times (after leaf emergence, at the summer solstice, and in August) on different batches of saplings. The saplings were grown in a Polytunnel in Vancouver, BC, Canada without water limitations (except for the periodic drought treatments) and were equipped with magnetic dendrometers to monitor radial growth along with observations of bud development and shoot elongation. After harvest, we assessed total root and shoot biomass. In addition, through an image analysis of micro stem slices (utilizing a microtome), we were able to review the xylem properties (e.g., the number of cells produced, vessel size) of treated and control saplings.

Our findings reveal how artificial downregulation of source and sink activities at different points in the growing season impacts the performance of radial and apical meristems. Furthermore, we identify the potential of temperate tree species to cope with environmental stressors by optimally utilizing the available ‘time window of opportunity’—for instance, by shifting or splitting their phenological development and growth activity around a drought period. Finally, we discuss how these characteristics correlate with a species’ strategy and the level of bud determinism, i.e., whether shoots continue to grow later in the season (neo-growth atop pre-formed tissue).

How to cite: Baumgarten, F. and Wolkovich, E.: Phenological plasticity: shifting growth and developmental phases of North American tree species in response to environmental stressors, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-22525, https://doi.org/10.5194/egusphere-egu24-22525, 2024.

X5.205
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EGU24-15091
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ECS
Yingyi Zhao, Zhihui Wang, Zhengbing Yan, Minkyu Moon, Dedi Yang, Lin Meng, Solveig Franziska Bucher, Jing Wang, Guangqin Song, Zhengfei Guo, Yanjun Su, and Jin Wu

Plant phenology, the study of recurring plant life history events’ timing, is a key indicator of global environmental change and significantly impacts ecosystem functions and services. Land surface phenology (LSP) characterizes plant phenology by monitoring seasonal plant canopy structure dynamics via satellites. Numerous studies have demonstrated that ecosystem-scale LSP variability is mainly driven by climate and environmental conditions across different ecosystems. However, significant spatial and temporal phenological variations are still observed within local landscapes where environmental conditions are relatively similar. This suggests that biotic factors may be important to regulating LSP variability, but their role in determining phenological variability has been underexplored. To address this knowledge gap, we selected four temperate forest sites with minor topographic relief to ensure the homogeneity of environmental conditions and examined how functional traits regulate intra-site spatial and temporal LSP variability. We combined plant functional traits derived from remote sensing data with multi-year Harmonized LandSat-Sentinel-2 (HLS) data to investigate the effects of functional traits on phenological variability. For spatial LSP variability, we assessed the extent to which functional traits could explain the variation in the start of season (SOS) and end of season (EOS). We found that functional traits showed a substantial explanatory power for spatial phenological variability across all the study sites, with cross-validation correlations (cv) ranging from 0.50 to 0.85. For temporal LSP variability, we used multi-year series of the two band Enhanced Vegetation Index (EVI2) to calculate the cumulative deviation of EVI2 values from their long-term means, which served as an indicator of temporal phenological variability. Functional traits also significantly contributed to the temporal variability across all sites, with cv ranging from 0.46 to 0.71. Furthermore, our results show that plant traits related to vegetation competitive ability and productivity (e.g., canopy height, plant area index, and leaf mass per area), are crucial to explaining intra-site phenological variability, but their relative contributions vary among different sites. Collectively, these results demonstrate that functional traits play a critical role in regulating intra-site spatial and temporal LSP variability, and plants employ diverse strategies to cope with the environment, which ultimately impacts various ecological processes.

How to cite: Zhao, Y., Wang, Z., Yan, Z., Moon, M., Yang, D., Meng, L., Bucher, S. F., Wang, J., Song, G., Guo, Z., Su, Y., and Wu, J.: Exploring the role of functional traits in regulating the spatial and temporal variability in land surface phenology across temperate forests, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15091, https://doi.org/10.5194/egusphere-egu24-15091, 2024.

X5.206
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EGU24-14009
Elisabeth Levac and Bruno Courtemanche

A phenology project was launched in 2020 in the Eastern Townships region of southern Quebec, Canada, with the help from students from Bishop’s University. Initially, one of the main goals was to boost local phenology observations and gather data that will become useful in the future to document the impacts of climate change. We also wanted to pair the pollen monitoring programme that exists in Sherbrooke since 2006 with directs phenological observations of the local vegetation. The other goal of TreeTraque is to increase people's awareness of the impacts of climate change on vegetation.

 

Riding on the momentum generated by the recent adoption of the politique de l’arbre (tree- or greening policy) by the city of Sherbrooke and by the push from numerous conservation organizations within the region, we are now adding a knowledge mobilization component to the project. We wish to reach the genera public more broadly to educate them about the importance of trees in the urban environment: they combat the urban heat island effect, capture atmospheric pollution, and enhance the esthetics of a neighbourhood. A few greening programs are already in place in Sherbrooke, however, they only aim at planting trees on institutional, industrial and commercial lots. It appears important to raise awareness among the general population, especially homeowners. Indeed, in some neighbourhoods, we see that numerous owners choose not to have trees on their property or prefer shrubs or plants that do not provide any shade on buildings, streets or driveways. Our long-term objective is to create more shade to help combat the urban heat island effects and reduce the impacts of future heat waves.  

How to cite: Levac, E. and Courtemanche, B.: Phenology and knowledge mobilization about the importance of trees in urban environments in southern Quebec, Canada, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14009, https://doi.org/10.5194/egusphere-egu24-14009, 2024.